POGEMA
Emerging4papers using it
2025first seen
POGEMA is a benchmark dataset used to evaluate multi-agent reinforcement learning models, containing 1 billion expert trajectories for diverse multi-agent tasks.
Papers using POGEMA (4)
- Cooperative Hybrid Multi-Agent Pathfinding Based on Shared Exploration
MapsSRMT: Shared Memory for Multi-agent Lifelong PathfindingRobust Multi-Agent Path Finding under Observation Attacks: A Principled Adversarial-Plus-Smoothing Training RecipeMARL-GPT: Foundation Model for Multi-Agent Reinforcement Learning